Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare a safe, idempotent, closed-world read, so the safety profile needs no restating. The description usefully adds that the payload is curator identities plus their commentary, but it omits name-matching semantics (exact vs fuzzy) and what is returned when no curator recommends the venue.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One compact sentence that front-loads the subject and immediately states both halves of the return value. No filler, though 'a specific restaurant' is slightly redundant with 'a venue' in the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read tool with rich annotations and no output schema, the description covers what the tool returns and what it is scoped to. The only real gap is lookup semantics when the venue name is ambiguous or unmatched, which is minor at this complexity level.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter has 100% schema description coverage ('The venue’s name'), so the schema does the documenting. The description adds only a marginal nuance by calling the target 'a specific restaurant', and does not clarify format (full address, city qualifier) or matching behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Check') and a specific output ('which curators on Goodtimes recommend it, and what they say'), which is clearly distinct from get_place (venue details) and search_places (discovery). It does not explicitly name the siblings, so differentiation relies on inference from the query shape.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by 'Check a specific restaurant', suggesting the venue must already be known, which points away from search_places. However, there is no explicit when-to-use guidance, no statement of prerequisites (must the venue already exist in Goodtimes?), and no named alternative such as get_place for full details.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.